The Impact of Technology on Forensic Accounting and FraudDetection: A Case Study of Omani Firms

Authors

  • Arwa Ibrahim Al Balushi Middle East College

DOI:

https://doi.org/10.24312/ucp-jbp.03.01.454

Keywords:

Forensic accounting, Fraud detection, AI, Machine learning, Blockchain, Technology

Abstract

Rapid technological improvements have revolutionised several businesses, affecting financial fraud and accounting detection. Fraud practices are increasing and becoming more complicated nowadays, whereas the traditional methods of investigating and detecting fraud meet challenges in keeping pace. This study aims to improve forensic accounting efficiency by increasing accuracy and reliability, reducing task time, and adapting to technological advancement. Hence, the study objectives are to explore the impact of cutting-edge technology on forensic accounting and fraud detection within Omani firms, its applications, integration challenges, and solutions to overcome them. The research uses a mixed-method approach, using both quantitative and qualitative data. An online questionnaire is distributed to a sample of 30 forensic accountants and auditors across various Omani firms, focusing on their perspectives regarding the impact and challenges of technology in this field. Using Microsoft Excel, data are analysed through different statistical analyses like descriptive, correlation, regression, and ANOVA analyses. The findings demonstrate that forensic accounting efficiency is directly related to technology adoption and organisational challenges. However, organisational challenges do not correlate with technology adoption. The research suggests that continuous education and training for employees and targeted investments in cybersecurity are crucial for addressing these obstacles. This research enhances fraud detection techniques and increases trust in financial systems, benefiting regulators, organisations, and stakeholders.

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Published

2025-09-08

How to Cite

The Impact of Technology on Forensic Accounting and FraudDetection: A Case Study of Omani Firms. (2025). UCP Journal of Business Perspectives, 3(1), 01-25. https://doi.org/10.24312/ucp-jbp.03.01.454